Evaluation of a System for High-Accuracy 3D Image-Based Registration of Endoscopic Video to C-Arm Cone-Beam CT for Image-Guided Skull Base Surgery

The safety of endoscopic skull base surgery can be enhanced by accurate navigation in preoperative computed tomography (CT) or, more recently, intraoperative cone-beam CT (CBCT). The ability to register real-time endoscopic video with CBCT offers an additional advantage by rendering information dire...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on medical imaging 2013-07, Vol.32 (7), p.1215-1226
Main Authors: Mirota, D. J., Uneri, A., Schafer, S., Nithiananthan, S., Reh, D. D., Ishii, M., Gallia, G. L., Taylor, R. H., Hager, G. D., Siewerdsen, J. H.
Format: Article
Language:English
Subjects:
Accuracy
Cameras
Cone-beam computed tomography (CBCT)
Cone-Beam Computed Tomography - methods
Endoscopes
endoscopy
Humans
image-guided treatment
Imaging, Three-Dimensional - methods
Optical imaging
Phantoms
Phantoms, Imaging
registration
Skull
Skull Base - diagnostic imaging
Skull Base - surgery
Surgery
Surgery, Computer-Assisted - methods
surgical guidance/navigation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The safety of endoscopic skull base surgery can be enhanced by accurate navigation in preoperative computed tomography (CT) or, more recently, intraoperative cone-beam CT (CBCT). The ability to register real-time endoscopic video with CBCT offers an additional advantage by rendering information directly within the visual scene to account for intraoperative anatomical change. However, tracker localization error (~1-2 mm ) limits the accuracy with which video and tomographic images can be registered. This paper reports the first implementation of image-based video-CBCT registration, conducts a detailed quantitation of the dependence of registration accuracy on system parameters, and demonstrates improvement in registration accuracy achieved by the image-based approach. Performance was evaluated as a function of parameters intrinsic to the image-based approach, including system geometry, CBCT image quality, and computational runtime. Overall system performance was evaluated in a cadaver study simulating transsphenoidal skull base tumor excision. Results demonstrated significant improvement ( p
ISSN:0278-0062
1558-254X
DOI:10.1109/TMI.2013.2243464